Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add xi-zhao/OpenQuantum --skill pyquil-simulationgit clone --depth 1 https://github.com/xi-zhao/OpenQuantumWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/xi-zhao/openquantum/pyquil-simulation)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/pyquil-simulation"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/pyquil-simulation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/xi-zhao/openquantum/pyquil-simulation"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/pyquil-simulation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.00689 |
| Opus 5.5 | $0.00014 | $0.00276 |
| Sonnet 5.5 | $0.00007 | $0.00138 |
| Haiku 4.5 | $0.00004 | $0.00069 |
Grade A, and why
pyquil-simulation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
pyQuil 本地理想电路仿真
原生 SDK 路径
本能力同时支持 pyQuil 的原生公开 API。用户需要 Program、自定义 gates、Quil 控制流、编译器与模拟/设备接口 时，由 Agent 在固定依赖环境中编写和运行任务代码，不限于下文便捷 Tool 的预设模型。
使用 node scripts/sdk-access.mjs inspect pyquil-simulation 定位环境，按完整 SDK 工作流执行。模块导航：pyquil；导航不是 API 白名单。
下文关于模型、门集、输入与预算的限制描述便捷 Tool 的合同；原生 SDK 另受上游版本、可选依赖、宿主资源与用户授权约束。已禁用或被拒绝的动作不能借代码路径绕过。执行状态和科研验收分别报告。
Agent 经 Harness 调用 pyquil_local 提供的 simulate_pyquil_circuit。本 Skill 负责模型选择和结果解释，Tool 在独立 Python 环境执行真实上游 SDK。
输入 numQubits 和 gates。每项包括 gate、targets；支持 H/S/T/X/Y/Z/CX/CZ 和 RX/RY/RZ。旋转门必须提供 angle（rad），其他门不得提供。CX 的首个 target 是控制位。只接收结构化门，不执行用户代码或文件路径。
从全零态开始进行理想酉演化。outcomes 的位串左端是量子位 0，amplitude=[real,imag]。概率由 SDK 末态振幅计算，无裁剪或归一化。先检查 normError；概率不是有限 shots 测量频数。完整态向量的计算和存储随 2^N 增长。
使用 Rigetti 自带 NumpyWavefunctionSimulator，在本地进程执行 Program。返回的 program 是真实序列化 Quil。此路径无需 QVM/quilc 服务，也不会访问 QCS 或 QPU；不包含噪声、条件执行或硬件连接映射。
计算规模由调用方选择，后端数值表示限制仍适用。资源限制用 execution 设置，与模型参数分开。先运行 node scripts/setup-paper-tools.mjs pyquil-simulation 显式准备固定依赖；计算调用不安装依赖或联网，数值库可能写本地缓存。
固定上游版本：4.21.0；来源与许可见上游仓库（Apache-2.0）。本地数值和协议检查属于开发证据；当前 L1，scientificValidation=not_evaluated，成功执行不等于最终科学 Acceptance。
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago Changed · +11 lines be1c20cddba8
- 19d ago First seen · 19 lines · 36 tokens per session scan A b08728a52691
pyquil-simulation is a skill published in the GitHub repository xi-zhao/OpenQuantum (75 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 689 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-28.
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